Distributed, Ambient and Pervasive Interactions Best Paper Award

Certificate for best paper award of the 8th International Conference on Distributed, Ambient and Pervasive Interactions. Details in text following the image

Certificate for Best Paper Award of the 8th International Conference on Distributed, Ambient and Pervasive Interactions

The award has been conferred to
Takuro Yonezawa (Nagoya University, Japan), Mina Sakamura (Keio University, Japan),
Nobuo Kawaguchi (Nagoya University, Japan), Jin Nakazawa (Keio University, Japan)

Takuro Yonezawa

for the paper entitled

"Civic CrowdSensing through Location-aware Virtual Monsters"

Presented in the context of
HCI International 2020
19-24 July 2020

Paper Abstract
"We present a new model for encouraging people to get involved with monitoring and taking part in the life of cities. Cities could be smarter if IoT and people could serve as engaged and pro-active data resources (i.e., crowd sensing). This study tackles two challenges: methods by which the privacy of people who act as sensors/actuators can be guaranteed and methods to create a unified programming model for crowd sensors alongside other IoT functions. To achieve these goals, we introduce a new concept called Lokemon (Location Monster). Each sensing space is characterized as a personified target. Lokemon asks users to imagine themselves to be monsters associated with target spots when achieving sensing tasks. Lokemon is also expressed as a PubSub node so that the data from Lokemon can be easily accessed in the same way as data from IoT is assessed. The article explains the concept of Lokemon and its programming model. We report our evaluation of the effectiveness of Lokemon in a campus experiment that was performed for four weeks."

The full paper is available through SpringerLink, provided that you have proper access rights.